Instructions to use RoopeshDuvvi/final_results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RoopeshDuvvi/final_results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "RoopeshDuvvi/final_results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 839aa9761ddbe0193498d6d328b56f432a1b8eb7c7499ca156ffd68988376b63
- Size of remote file:
- 4.86 kB
- SHA256:
- 5678ca573837465e4d0fe1e1049dd9159d6fdb84d9b7bbc5c2c7a908e281bc3c
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